摘要
在试验场进行整车试验是汽车开发的重要环节,为实现自动化识别并量化地评价试验工况执行的准确性,文章提出了基于试验数据的试验工况识别与评价方法,并综合应用区域路径判断、KNN和DTW算法进行了多维度的识别和评价。根据实际试验工况数据的测试结果,运用该方法能够快速、有效地识别和评价试验工况,为评价试验工况执行质量提供了依据。
Vehicle test in the proving ground is an important part of the vehicle development,in order to achieve automatic identification and quantitative evaluation of the accuracy of the driving operation quality,a test condition identification and evaluation method based on the test data is proposed.With integrating the regional path judgment,KNN,DTW algorithm,the driving operation is identified and evaluated through multi-dimensional method.The application results of actual test conditions show that the method can identify and evaluate test conditions quickly and effectively,which provides a basis for evaluating the execution quality of test conditions.
作者
张兴龙
杨鹏春
ZHANG Xinglong;YANG Pengchun
出处
《上海汽车》
2022年第10期40-44,共5页
Shanghai Auto
